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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26131
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dc.contributor.authorPlüss, Michel-
dc.contributor.authorHürlimann, Manuela-
dc.contributor.authorCuny, Marc-
dc.contributor.authorStöckli, Alla-
dc.contributor.authorKapotis, Nikolaos-
dc.contributor.authorHartmann, Julia-
dc.contributor.authorUlasik, Malgorzata Anna-
dc.contributor.authorScheller, Christian-
dc.contributor.authorSchraner, Yanick-
dc.contributor.authorJain, Amit-
dc.contributor.authorDeriu, Jan Milan-
dc.contributor.authorCieliebak, Mark-
dc.contributor.authorVogel, Manfred-
dc.date.accessioned2022-11-18T14:28:26Z-
dc.date.available2022-11-18T14:28:26Z-
dc.date.issued2022-06-
dc.identifier.urihttps://aclanthology.org/2022.lrec-1.347de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26131-
dc.description.abstractWe present SDS-200, a corpus of Swiss German dialectal speech with Standard German text translations, annotated with dialect, age, and gender information of the speakers. The dataset allows for training speech translation, dialect recognition, and speech synthesis systems, among others. The data was collected using a web recording tool that is open to the public. Each participant was given a text in Standard German and asked to translate it to their Swiss German dialect before recording it. To increase the corpus quality, recordings were validated by other participants. The data consists of 200 hours of speech by around 4000 different speakers and covers a large part of the Swiss German dialect landscape. We release SDS-200 alongside a baseline speech translation model, which achieves a word error rate (WER) of 30.3 and a BLEU score of 53.1 on the SDS-200 test set. Furthermore, we use SDS-200 to fine-tune a pre-trained XLS-R model, achieving 21.6 WER and 64.0 BLEU.de_CH
dc.language.isoende_CH
dc.publisherEuropean Language Resources Associationde_CH
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/de_CH
dc.subjectSwiss Germande_CH
dc.subjectSpeech to textde_CH
dc.subject.ddc430: Deutschde_CH
dc.titleSDS-200 : a Swiss German speech to Standard German text corpusde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementAngewandte Linguistikde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
zhaw.organisationalunitInstitute of Language Competence (ILC)de_CH
dc.identifier.doi10.21256/zhaw-26131-
zhaw.conference.details13th Language Resources and Evaluation Conference (LREC), Marseille, France, 20-25 June 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end3256de_CH
zhaw.pages.start3250de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)de_CH
zhaw.funding.snf200729de_CH
zhaw.webfeedDigital Linguisticsde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.funding.zhawEnd-to-End Low-Resource Speech Translation for Swiss German Dialectsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
zhaw.relation.referenceshttps://github.com/stt4sg/dialektsammlung-publicde_CH
zhaw.relation.referenceshttps://paperswithcode.com/dataset/common-voicede_CH
zhaw.relation.referenceshttps://paperswithcode.com/dataset/must-cde_CH
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Plüss, M., Hürlimann, M., Cuny, M., Stöckli, A., Kapotis, N., Hartmann, J., Ulasik, M. A., Scheller, C., Schraner, Y., Jain, A., Deriu, J. M., Cieliebak, M., & Vogel, M. (2022). SDS-200 : a Swiss German speech to Standard German text corpus [Conference paper]. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3250–3256. https://doi.org/10.21256/zhaw-26131
Plüss, M. et al. (2022) ‘SDS-200 : a Swiss German speech to Standard German text corpus’, in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association, pp. 3250–3256. Available at: https://doi.org/10.21256/zhaw-26131.
M. Plüss et al., “SDS-200 : a Swiss German speech to Standard German text corpus,” in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), Jun. 2022, pp. 3250–3256. doi: 10.21256/zhaw-26131.
PLÜSS, Michel, Manuela HÜRLIMANN, Marc CUNY, Alla STÖCKLI, Nikolaos KAPOTIS, Julia HARTMANN, Malgorzata Anna ULASIK, Christian SCHELLER, Yanick SCHRANER, Amit JAIN, Jan Milan DERIU, Mark CIELIEBAK und Manfred VOGEL, 2022. SDS-200 : a Swiss German speech to Standard German text corpus. In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) [online]. Conference paper. European Language Resources Association. Juni 2022. S. 3250–3256. Verfügbar unter: https://aclanthology.org/2022.lrec-1.347
Plüss, Michel, Manuela Hürlimann, Marc Cuny, Alla Stöckli, Nikolaos Kapotis, Julia Hartmann, Malgorzata Anna Ulasik, et al. 2022. “SDS-200 : A Swiss German Speech to Standard German Text Corpus.” Conference paper. In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3250–56. European Language Resources Association. https://doi.org/10.21256/zhaw-26131.
Plüss, Michel, et al. “SDS-200 : A Swiss German Speech to Standard German Text Corpus.” Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), European Language Resources Association, 2022, pp. 3250–56, https://doi.org/10.21256/zhaw-26131.


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